View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Discovery Concierge MVP |  Product Strategy DIBB |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 1-4 Wochen | 1-2 h | 1-4 Wochen |
Participantsdifferent | 3-10 Kunden | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Concierge Learnings, Service Blueprint, MVP Risks | DIBB document, Belief list, Bet list, Learning report | Experiment results, Decision log, Learning summary |
Tagsno overlap | MVPValidationServiceDiscovery | StrategyDecisionAssumptionsHypothesis | ExperimentsGrowthAnalyticsValidation |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
